Marco Minozzo
Marco Minozzo
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A Monte Carlo approach to filtering for a class of marked doubly stochastic Poisson processes
S Centanni, M Minozzo
Journal of the American Statistical Association 101 (476), 1582-1597, 2006
Zen and well-being at the workplace
C Baccarani, V Mascherpa, M Minozzo
The TQM journal 25 (6), 606-624, 2013
On the existence of some skew-normal stationary processes.
M Minozzo, L Ferracuti
Chilean Journal of Statistics (ChJS) 3 (2), 2012
Estimation and filtering by reversible jump MCMC for a doubly stochastic Poisson model for ultra-high-frequency financial data
S Centanni, M Minozzo
Statistical Modelling 6 (2), 97-118, 2006
Modelling the horizontal spatial structure of planktonic community in Lake Trasimeno (Umbria, Italy) using multivariate geostatistical methods
A Ludovisi, M Minozzo, P Pandolfi, MI Taticchi
Ecological modelling 181 (2-3), 247-262, 2005
Loglinear spatial factor analysis: an application to diabetes mellitus complications
M Minozzo, D Fruttini
Environmetrics 15 (5), 423-434, 2004
On the unimodality of the exact likelihood function for normal AR (2) series
M Minozzo, A Azzalini
Journal of Time Series Analysis 14 (5), 497-509, 1993
Multivariate geostatistical mapping of radioactive contamination in the Maddalena Archipelago (Sardinia, Italy): spatial special issue
M Minozzo, C Ferrari
AStA Advances in Statistical Analysis 97, 195-213, 2013
A latent variable approach to modelling multivariate geostatistical skew-normal data
L Bagnato, M Minozzo
Advances in Latent Variables: Methods, Models and Applications, 113-126, 2015
Statistics: principles and methods
G Cicchitelli, P D'Urso, M Minozzo
Pearson Italia, 2021
Hierarchical spatial factor models for Poisson count data
M Minozzo
Proceedings of the XLI Conference of the Italian Statistical Society, Milano …, 2002
Bell inequalities and correlation experiments: a purely particle statistical investigation
M Minozzo
The Foundations Of Quantum Mechanics, 307-318, 2000
Nonlinear filtering using reversible jump Markov chain Monte Carlo in a model for high frequency data
S Centanni, M Minozzo
Proceedings of S. Co. 2003, 290-295, 2003
A unified skew‐normal geostatistical factor model
M Minozzo, L Bagnato
Environmetrics 32 (4), e2672, 2021
Binomial factor analysis with the MCEM algorithm
M Minozzo, C Ferrari
Electronic Journal of Applied Statistical Analysis 5 (3), 346-352, 2012
La Geografia della mortalità in Umbria 1978-2005
F LA ROSA, F Stracci, T Cassetti, D D'Alo, A Canosa, AM Petrinelli, ...
Registro Tumori Umbro di Popolazione, Osservatorio Epidemiologico della …, 2007
Natural Language Processing and Financial Markets: Semi-supervised Modelling of Coronavirus and Economic News
C Moreno Pérez, M Minozzo
Banco de Espana Working Paper, 2022
Exploring Relevance in Scholarly Top Journals of Management: First Steps of a Research
F Brunetti, E Giaretta, A Bonfanti, P Castellani, M Minozzo, C Rossato, ...
8th Annual Conference of the EuroMed Academy of Business, 2015
Modeling Ultra-High-Frequency Data: The S&P 500 Index Future
M Minozzo, S Centanni
Mathematical and Statistical Methods in Insurance and Finance, 165-172, 2008
La geografia del cancro in Umbria 1978-2003
F La Rosa, F Stracci, T Cassetti, AM Petrinelli, L Rossi, M Minozzo, ...
Registro Tumori Umbro di Popolazione, Osservatorio Epidemiologico della …, 2007
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